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A review of the MIMOSA OSA-EAI database for condition monitoring systems

Mathew, Avin D., Zhang, Liqun, Zhang, Sheng, & Ma, Lin (2006) A review of the MIMOSA OSA-EAI database for condition monitoring systems. In World Congress on Engineering Asset Management, 11-14 July 2006, Gold Coast, Australia.

Abstract

Condition monitoring systems are prevalent in industries that contain critical assets. Their use allows the detection of potential failures at an early stage in order to minimise downtime and maintenance costs of a system. Many condition monitoring systems are commercially available, however these systems are limited in their support of diagnostic and prognostic models developed by external parties. An attempt to develop an extensible condition monitoring software lead to the creation of an ISO 13374/OSA-CBM based system named BUDS, which focuses on vibration condition monitoring. Research into condition monitoring data management strategies led our team to implement a database to support the data-driven application. A database based on the MIMOSA OSA-EAI database specification was used to store asset and sensor location, measurement event, raw sensor and processed signal data. This paper investigates the use of the MIMOSA OSA-EAI database for condition monitoring systems, and presents several issues encountered during the development process.

Impact and interest:

3 citations in Scopus
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ID Code: 8290
Item Type: Conference Paper
Additional Information: For more information, please refer to the journal’s website (see hypertext link) or contact the author. Author contact details: l4.zhang@qut.edu.au
Additional URLs:
Keywords: MIMOSA, OSA, EAI, database, condition monitoring
Divisions: Current > Research Centres > CRC Integrated Engineering Asset Management (CIEAM)
Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Copyright Owner: Copyright 2006 The Authors
Deposited On: 28 Jun 2007
Last Modified: 29 Feb 2012 23:18

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